MESSAI.iO

AI summary

65% confidence

This study explores the feasibility of Sedimentary Microbial Fuel Cells (SMFC) for remote monitoring of environmental parameters in high-altitude mountain areas, achieving an overall efficiency of 59.6% and enabling a low-cost, ecological alternative to traditional sensing networks.

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Literature priors

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Distribution

Reported parameters

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Coulombic efficiency59.6%

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What they did

System
MFC

What worked

Coulombic efficiency59.6%best of 2

Abstract

The increasing need for fresh water in a climate change scenario requires remote monitoring of water bodies in high-altitude mountain areas. This study aimed to explore the feasibility of SMFC operation in the presence of low dissolved oxygen concentrations for remote, on-site monitoring of physical environmental parameters in high-altitude mountainous areas. The implemented power management system (PMS) uses a reference SMFC (SMFCRef) to implement a quasi-maximum power point tracking (quasi-MPPT) algorithm to harvest energy stably. As a result, while transmitting in a point-to-point wireless sensor network topology, the system achieves an overall efficiency of 59.6%. Furthermore, the control mechanisms prevent energy waste and maintain a stable voltage despite the microbial fuel cell (MFC)’s high impedance, low time response, and low energy production. Moreover, our system enables a fundamental understanding of environmental systems and their resilience of adaptation strategies by being a low-cost, ecological, and environmentally friendly alternative to power-distributed and dynamic environmental sensing networks in high-altitude mountain ecosystems with anoxic environmental conditions.

Key findings

  • SMFC operation is feasible in low dissolved oxygen concentrations
  • Quasi-MPPT algorithm achieves stable energy harvesting
  • System prevents energy waste and maintains stable voltage despite MFC's high impedance

Keywords

Microbial fuel cellAltitude (triangle)Climate changeAnoxic watersElectricity generation

Identifiers

DOI
10.3390/s23042101
Journal
Sensors
Year
2023